{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DY9TXWO3nofK",
        "outputId": "6ed56705-5691-4c60-cbcf-74eaa29cba12"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m521.2/521.2 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "!pip install datasets --quiet"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "exbVS2NkKyQK",
        "outputId": "ca69d1e1-f9cc-4011-f6cf-d7ad29743afa"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/repocard.py:105: UserWarning: Repo card metadata block was not found. Setting CardData to empty.\n",
            "  warnings.warn(\"Repo card metadata block was not found. Setting CardData to empty.\")\n"
          ]
        }
      ],
      "source": [
        "from torch.utils.data import DataLoader\n",
        "from datasets import load_dataset\n",
        "from torchvision import transforms\n",
        "from PIL import Image\n",
        "import torch\n",
        "from torchvision import transforms\n",
        "from PIL import Image\n",
        "# Define a custom dataset class for Flickr30k\n",
        "class Flickr30kDataset(torch.utils.data.Dataset):\n",
        "    def __init__(self):\n",
        "        self.dataset = load_dataset(\"nlphuji/flickr30k\", cache_dir=\"./huggingface_data\")\n",
        "        self.transform = transforms.Compose([\n",
        "            transforms.Resize((224, 224)),\n",
        "            transforms.ToTensor(),\n",
        "        ])\n",
        "        self.cap_per_image = 2\n",
        "\n",
        "    def __len__(self):\n",
        "        return self.dataset.num_rows[\"test\"] * self.cap_per_image\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        original_idx = idx // self.cap_per_image\n",
        "        # image_path = self.dataset[idx][\"image_path\"]\n",
        "        image = self.dataset[\"test\"][original_idx][\"image\"].convert(\"RGB\")\n",
        "        image = self.transform(image)\n",
        "\n",
        "        # You might need to adjust the labels based on your task\n",
        "        caption = self.dataset[\"test\"][original_idx][\"caption\"][idx % self.cap_per_image]\n",
        "\n",
        "        return {\"image\": image, \"caption\": caption}\n",
        "\n",
        "# Create an instance of the custom dataset\n",
        "flickr30k_custom_dataset = Flickr30kDataset()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "from dataclasses import dataclass\n",
        "\n",
        "\n",
        "@dataclass\n",
        "class Config:\n",
        "    \"\"\"\n",
        "    Configuration class for the CLIP training script.\n",
        "    \"\"\"\n",
        "\n",
        "    embed_dim: int = 512  # Embedding dimension\n",
        "    transformer_embed_dim: int = 768  # Transformer embedding dimension\n",
        "    max_len: int = 32  # Maximum text length\n",
        "    text_model: str = \"distilbert-base-multilingual-cased\"  # Text model name\n",
        "    epochs: int = 5  # Number of training epochs\n",
        "    batch_size: int = 128  # Batch size"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SqRP6KEYFivz",
        "outputId": "7c6826aa-6b37-4217-af74-89ba19f22ccf"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n"
          ]
        }
      ],
      "source": [
        "# Create the DataLoader\n",
        "clip_dataloader = DataLoader(flickr30k_custom_dataset, batch_size=Config.batch_size, shuffle=True, num_workers=4)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "9mAiQh1spbcF"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "_7qCSGI3FunC",
        "outputId": "b0c2923e-d810-4e64-fed6-a80899c61c03"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "# Create an iterator from the dataloader\n",
        "data_iter = iter(clip_dataloader)\n",
        "\n",
        "# Get one batch\n",
        "batch = next(data_iter)\n",
        "\n",
        "\n",
        "image = batch[\"image\"][0]  # Assuming batch size is greater than 0\n",
        "caption = batch[\"caption\"][0]\n",
        "\n",
        "# Convert the image tensor to a NumPy array and permute dimensions\n",
        "image_np = np.transpose(image.numpy(), (1, 2, 0))\n",
        "\n",
        "# Display the image and caption\n",
        "plt.imshow(image_np)\n",
        "plt.title(f\"Caption: {caption}\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kZOt3ncNOnOO",
        "outputId": "1f3be639-c8bb-469b-885d-3c127fc1577b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "example of a caption in abatch: People looking over the rail at something in the distance.\n",
            "number of captions in each batch: 128\n"
          ]
        }
      ],
      "source": [
        "print(\"example of a caption in abatch:\",  batch[\"caption\"][0])\n",
        "print(\"number of captions in each batch:\",len(batch[\"caption\"]))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gf1H887DPf_1",
        "outputId": "6389dc62-ca7e-4068-dc17-c7e07f39a5c7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.4/53.4 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for clip (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "!pip install git+https://github.com/openai/CLIP.git --quiet"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "id": "B2ZFLq3yRZiN"
      },
      "outputs": [],
      "source": [
        "import torch.nn.functional as F\n",
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "\n",
        "def CLIP_loss(logits: torch.Tensor) -> torch.Tensor:\n",
        "    # Assuming n is the number of classes\n",
        "    n = logits.shape[1]\n",
        "\n",
        "    # Create labels tensor\n",
        "    labels = torch.arange(n).to(device)\n",
        "\n",
        "    # Calculate cross entropy losses along axis 0 and 1\n",
        "    loss_i = F.cross_entropy(logits.transpose(0, 1), labels, reduction=\"mean\")\n",
        "    loss_t = F.cross_entropy(logits, labels, reduction=\"mean\")\n",
        "\n",
        "    # Calculate the final loss\n",
        "    loss = (loss_i + loss_t) / 2\n",
        "\n",
        "    return loss\n",
        "\n",
        "def metrics(similarity: torch.Tensor):\n",
        "    y = torch.arange(len(similarity)).to(similarity.device)\n",
        "    img2cap_match_idx = similarity.argmax(dim=1)\n",
        "    cap2img_match_idx = similarity.argmax(dim=0)\n",
        "\n",
        "    img_acc = (img2cap_match_idx == y).float().mean()\n",
        "    cap_acc = (cap2img_match_idx == y).float().mean()\n",
        "\n",
        "    return img_acc, cap_acc"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ryI2PzwROnKy",
        "outputId": "c9ded1e1-3bd6-43f5-ae52-060a70d93382"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|███████████████████████████████████████| 338M/338M [00:06<00:00, 51.4MiB/s]\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "tensor(4.7188, device='cuda:0', dtype=torch.float16, grad_fn=<DivBackward0>)\n",
            "tensor(4.8516, device='cuda:0', dtype=torch.float16, grad_fn=<DivBackward0>)\n"
          ]
        }
      ],
      "source": [
        "import clip\n",
        "model, preprocess = clip.load(\"ViT-B/32\", device=device)\n",
        "\n",
        "image = batch[\"image\"].to(device)\n",
        "true_text = batch[\"caption\"]\n",
        "wrong_text = true_text[::-1]\n",
        "\n",
        "\n",
        "for captions in [true_text, wrong_text]:\n",
        "    text = clip.tokenize(captions).to(device)\n",
        "\n",
        "    # with torch.no_grad():\n",
        "    image_features = model.encode_image(image)\n",
        "    text_features = model.encode_text(text)\n",
        "\n",
        "    # normalized features\n",
        "    image_features = image_features / image_features.norm(dim=1, keepdim=True)\n",
        "    text_features = text_features / text_features.norm(dim=1, keepdim=True)\n",
        "    similarity = text_features @ image_features.T\n",
        "    loss = CLIP_loss(similarity)\n",
        "    print(loss)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "id": "1-8aFR_qL8Hh"
      },
      "outputs": [],
      "source": [
        "from transformers import AutoModel, AutoTokenizer, BertTokenizer\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "from torchvision import models\n",
        "\n",
        "class Projection(nn.Module):\n",
        "    def __init__(self, d_in: int, d_out: int, p: float = 0.5) -> None:\n",
        "        super().__init__()\n",
        "        self.linear1 = nn.Linear(d_in, d_out, bias=False)\n",
        "        self.linear2 = nn.Linear(d_out, d_out, bias=False)\n",
        "        self.layer_norm = nn.LayerNorm(d_out)\n",
        "        self.drop = nn.Dropout(p)\n",
        "\n",
        "    def forward(self, x: torch.Tensor) -> torch.Tensor:\n",
        "        embed1 = self.linear1(x)\n",
        "        embed2 = self.drop(self.linear2(F.gelu(embed1)))\n",
        "        embeds = self.layer_norm(embed1 + embed2)\n",
        "        return embeds\n",
        "\n",
        "\n",
        "class VisionEncoder(nn.Module):\n",
        "    def __init__(self, d_out: int) -> None:\n",
        "        super().__init__()\n",
        "        base = models.resnet34(pretrained=True)\n",
        "        d_in = base.fc.in_features\n",
        "        base.fc = nn.Identity()\n",
        "        self.base = base\n",
        "        self.projection = Projection(d_in, d_out)\n",
        "        for p in self.base.parameters():\n",
        "            p.requires_grad = False\n",
        "\n",
        "    def forward(self, x):\n",
        "        projected_vec = self.projection(self.base(x))\n",
        "        projection_len = torch.norm(projected_vec, dim=-1, keepdim=True)\n",
        "        return projected_vec / projection_len\n",
        "\n",
        "\n",
        "class TextEncoder(nn.Module):\n",
        "    def __init__(self, d_out: int) -> None:\n",
        "        super().__init__()\n",
        "        self.base = AutoModel.from_pretrained(Config.text_model)\n",
        "        self.projection = Projection(Config.transformer_embed_dim, d_out)\n",
        "        for p in self.base.parameters():\n",
        "            p.requires_grad = False\n",
        "\n",
        "    def forward(self, x):\n",
        "        out = self.base(x)[0]\n",
        "        out = out[:, 0, :]  # get CLS token output\n",
        "        projected_vec = self.projection(out)\n",
        "        projection_len = torch.norm(projected_vec, dim=-1, keepdim=True)\n",
        "        return projected_vec / projection_len\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "id": "7rwh3leeXGv0"
      },
      "outputs": [],
      "source": [
        "class Tokenizer:\n",
        "    def __init__(self, tokenizer: BertTokenizer) -> None:\n",
        "        self.tokenizer = tokenizer\n",
        "\n",
        "    def __call__(self, x: str) -> AutoTokenizer:\n",
        "        return self.tokenizer(\n",
        "            x, max_length=Config.max_len, truncation=True, padding=True, return_tensors=\"pt\"\n",
        "        )\n"
      ]
    },
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      "cell_type": "code",
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      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet34_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet34_Weights.DEFAULT` to get the most up-to-date weights.\n",
            "  warnings.warn(msg)\n",
            "Downloading: \"https://download.pytorch.org/models/resnet34-b627a593.pth\" to /root/.cache/torch/hub/checkpoints/resnet34-b627a593.pth\n",
            "100%|██████████| 83.3M/83.3M [00:00<00:00, 152MB/s]\n"
          ]
        },
        {
          "data": {
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              "model_id": "aedf42e50729490b96f03534a8225ef2",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "config.json:   0%|          | 0.00/466 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f5b78747e3604abb85a5c17a129f40b4",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/542M [00:00<?, ?B/s]"
            ]
          },
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        },
        {
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              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/29.0 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f47103190e054576a891f0bc92ae4fdc",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "vocab.txt:   0%|          | 0.00/996k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ba55847bd4c1432e8edc003d2a1c1fef",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/1.96M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked.\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "tensor(4.8537, device='cuda:0', grad_fn=<DivBackward0>)\n",
            "tensor(4.8519, device='cuda:0', grad_fn=<DivBackward0>)\n"
          ]
        }
      ],
      "source": [
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "image = batch[\"image\"].to(device)\n",
        "true_text = batch[\"caption\"]\n",
        "wrong_text = true_text[::-1]\n",
        "\n",
        "vision_encoder = VisionEncoder(Config.embed_dim).to(device)\n",
        "caption_encoder = TextEncoder(Config.embed_dim).to(device)\n",
        "tokenizer = Tokenizer(AutoTokenizer.from_pretrained(Config.text_model))\n",
        "\n",
        "for captions in [true_text, wrong_text]:\n",
        "    text = tokenizer(captions).to(device)\n",
        "\n",
        "    # with torch.no_grad():\n",
        "    image_features = vision_encoder(image)\n",
        "    text_features = caption_encoder(text[\"input_ids\"])\n",
        "\n",
        "    # normalized features\n",
        "    image_features = image_features / image_features.norm(dim=1, keepdim=True)\n",
        "    text_features = text_features / text_features.norm(dim=1, keepdim=True)\n",
        "    similarity = text_features @ image_features.T\n",
        "    loss = CLIP_loss(similarity)\n",
        "    print(loss)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "id": "U5T8B7o6ZJI_"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "import torch.nn as nn\n",
        "from transformers import AutoTokenizer\n",
        "from typing import List, Tuple\n",
        "\n",
        "\n",
        "class CustomModel(nn.Module):\n",
        "    def __init__(self, lr: float = 1e-3) -> None:\n",
        "        super().__init__()\n",
        "        self.vision_encoder = VisionEncoder(Config.embed_dim)\n",
        "        self.caption_encoder = TextEncoder(Config.embed_dim)\n",
        "        self.tokenizer = Tokenizer(AutoTokenizer.from_pretrained(Config.text_model, use_fast=False))\n",
        "        self.lr = lr\n",
        "        self.device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "\n",
        "    def forward(self, images, text):\n",
        "        text = self.tokenizer(text).to(self.device)\n",
        "\n",
        "        image_embed = self.vision_encoder(images)\n",
        "        caption_embed = self.caption_encoder(text[\"input_ids\"])\n",
        "        similarity = caption_embed @ image_embed.T\n",
        "\n",
        "        loss = CLIP_loss(similarity)\n",
        "        img_acc, cap_acc = metrics(similarity)\n",
        "        return loss, img_acc, cap_acc\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "id": "lKGUx5tUgHio"
      },
      "outputs": [],
      "source": [
        "# Create an instance of your model\n",
        "model = CustomModel().to(device)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {
        "id": "PiH7dylfgWP9"
      },
      "outputs": [],
      "source": [
        "# Define optimizer\n",
        "optimizer = torch.optim.Adam([\n",
        "    {'params': model.vision_encoder.parameters()},\n",
        "    {'params': model.caption_encoder.parameters()}\n",
        "], lr=model.lr)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "inkRKuCK9nCQ",
        "outputId": "d632933d-edf5-4191-9f61-efad90f1c382"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch [0/3], Batch Loss: 4.854558944702148\n",
            "Epoch [1/3], Batch Loss: 3.187166690826416\n",
            "Epoch [2/3], Batch Loss: 3.0981950759887695\n",
            "Epoch [3/3], Batch Loss: 3.164858818054199\n",
            "Training complete.\n"
          ]
        }
      ],
      "source": [
        "start_epoch = 0\n",
        "num_epochs = 3\n",
        "\n",
        "batch_zero = True\n",
        "for epoch in range(start_epoch, num_epochs):\n",
        "    model.train()\n",
        "    for batch in clip_dataloader:\n",
        "        image = batch[\"image\"].to(device)\n",
        "        text = batch[\"caption\"]\n",
        "        # images, text = batch\n",
        "        loss, img_acc, cap_acc = model(image, text)\n",
        "\n",
        "        # Backward pass and optimization\n",
        "        optimizer.zero_grad()\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "\n",
        "        if batch_zero:\n",
        "          print(f\"Epoch [{0}/{num_epochs}], Batch Loss: {loss.item()}\")\n",
        "          batch_zero = False\n",
        "\n",
        "\n",
        "    # Print training statistics\n",
        "    print(f\"Epoch [{epoch+1}/{num_epochs}], Batch Loss: {loss.item()}\")\n",
        "\n",
        "print(\"Training complete.\")"
      ]
    }
  ],
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      "display_name": "Python 3",
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